How automated Google review responses work
1. Detect new Google reviews
Cacao receives new reviews through its Google Business Profile integration as soon as customers publish them.
2. Generate an on-brand response
AI uses the review, shared brand instructions, and location-specific context to create a personalized reply.
3. Publish automatically or request approval
Publish eligible responses automatically or route negative, sensitive, and exceptional reviews to the right manager.
4. Monitor every location
Track response times, pending approvals, unanswered reviews, publishing failures, and performance from one dashboard.
Everything your team needs to respond at scale
- automatic, approval-based, or hybrid publishing workflows
- shared brand instructions with location-specific business context
- safeguards and escalation rules for negative or sensitive reviews
- corporate, regional, and local access by assigned location
- personalized responses in the language of each customer review
- centralized reporting for response time, pending reviews, failures, and exceptions
Built for different review response workflows
Automate routine responses
Publish personalized replies to eligible reviews automatically - ideal for high-volume retail, restaurant, and service locations.
Review sensitive replies before publishing
Generate AI drafts while requiring approval for negative, regulated, or exceptional cases in healthcare, financial services, and other controlled environments.
Balance corporate control with local execution
Set brand-wide rules while regional managers and local teams work only with the locations assigned to them.
Keep responses consistent across countries
Reply in the language of each review while applying the same corporate standards across brands, regions, and markets.
Vital: more than 1,000 responses in the first month
Vital Supermayorista uses Cacao across 20 retail locations. In its first month, the team managed more than 1,000 AI-generated review responses with human approval.
Location-specific instructions add the relevant branch phone number to negative-review replies while every response follows Vital's defined brand closing.
Grupo Popular: centralized control across 120 locations
Grupo Popular coordinates Google review responses across 120 locations in 8 countries from one centralized workflow. See how its regional teams manage assigned locations while the brand maintains global oversight.
Shared rules, multilingual responses, and location-level access keep execution consistent across a large international operation.
A focused platform for Google review operations
Cacao is designed for multi-location organizations that manage Google reviews at scale. It combines AI generation, direct publishing, approvals, permissions, and reporting in one workflow.
If your organization needs a single inbox covering hundreds of non-Google review sites, a broader multi-channel reputation suite may be a better fit.
See how Cacao would automate reviews across your locations
Request a demo to explore brand instructions, location access, automation rules, approval workflows, and pricing by location.
Frequently asked questions
Can Cacao automatically publish responses to Google reviews?
Yes. Cacao can publish AI-generated responses directly through its Google Business Profile integration. In observed automated workflows, responses publish about six minutes after a customer posts a review, on average. This is an observed average, not a service-level guarantee.
Can managers approve or edit responses before publishing?
Yes. Teams can require approval, edit AI-generated drafts, or use a hybrid workflow where eligible routine responses publish automatically and sensitive reviews go to a manager.
Can different locations use different response instructions?
Yes. Corporate teams can define shared brand guidance while adding location-specific context, signatures, recovery details, languages, and publishing rules.
How are negative or sensitive reviews handled?
Teams can exclude specific cases from automation, require approval based on rating or custom rules, assign the appropriate manager, and include location-specific recovery information before publishing.